Deeper insight into Higgs boson production using W bosons

Discovering the Higgs boson in 2012 was only the start. Physicists immediately began measuring its properties, an investigation that is still ongoing as they try to unravel if the Higgs mechanism is realized in nature as ...

Faster fusion reactor calculations thanks to machine learning

Fusion reactor technologies are well-positioned to contribute to our future power needs in a safe and sustainable manner. Numerical models can provide researchers with information on the behavior of the fusion plasma, as ...

Helping drug-delivering particles squeeze through a syringe

Microparticles offer a promising way to deliver multiple doses of a drug or vaccine at once, because they can be designed to release their payload at specific intervals. However, the particles, which are about the size of ...

Machine-learning technology to track odd events among LHC data

Nowadays, artificial neural networks have an impact on many areas of our day-to-day lives. They are used for a wide variety of complex tasks, such as driving cars, performing speech recognition (for example, Siri, Cortana, ...

25 years on: A single top quark partners with the Z boson

A quarter-century after its discovery, physicists at the ATLAS Experiment at CERN are gaining new insight into the heaviest-known particle, the top quark. The huge amount of data collected during Run 2 of the LHC (2015-2018) ...

Quantifying objects: Bees recognize that six is more than four

Writing in iScience, zoologists have shown that insects have the cognitive abilities to perform so called numerosity estimation, allowing them to solve simple mathematical problems. Zoologist Professor Dr. Martin Paul Nawrot ...

Oceanographers predict increase in phytoplankton by 2100

A neural network-driven Earth system model has led University of California, Irvine oceanographers to a surprising conclusion: phytoplankton populations will grow in low-latitude waters by the end of the 21st century.

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